In this research work, we propose to identify an imaginary line called baseline threading through the entire stretch of text-line, with reference to which the location of vertical extents of Persian characters could be accurately interpreted. Depending upon the curvedness of the handwritten Persian text-line the baseline also would be curved. In this research a novel piece-wise painting scheme ...

In this paper,we propose a new approach for writer identification of Chinese handwritten.In our method, we deal with writer identification of Chinese handwritten using Chinese character structure features(CSF) and extreme learning machine(ELM).To extract the features embedded in Chinese handwriting characters, special structures have been explored according to the trait of Chinese handwriting c...

The paper describes a recognition scheme for reading handwritten cursive words using three word recognition techniques. It particularly focuses on the implementation used to combine the three techniques based on a comparative sru& of different strategies. The first holistic recognition technique derives a global encoding of the word. The other techniques both rely on the segmentatiorr of the wo...

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The aim of the project is to understand offline One most popular and difficult pattern recognition subjects use optical character (OCR) read handwritten Telugu letters. This study suggests a three-stage OCR solution for documents that includes pre-processing, feature extraction, classification. For extraction boundary edge pixel points during preprocessing, we used median filtering on input cha...

In our previous works, a recognition system named ResifCar was designed specifically for on-line handwritten character recognition. This system is based on an explicit modeling by hierarchical fuzzy rules. Thus, it is understandable an optimizable after the learning stage. We present in this article a new classifier that is an extension of ResifCar. Indeed it tries to combine ResifCar’s advanta...

In this article, we describe the recognition system of Amazigh handwritten letters. The SURF descriptor, specifically the SURF-36, and the GIST descriptor are used for extracting feature vectors of each letter from our database which consists of 25740 manuscripts isolated Amazigh characters. All the feature vectors of each letter form a training set which is used to train the neural network so ...

This paper proposes a fast and robust system for handwritten alphanumeric character recognition. Specifically, a neural SVM (N-SVM) combination is adopted for the classification stage in order to accelerate the running time of SVM classifiers. In addition, we investigate the use of tangent similarities to deal with data variability. Experimental analysis is conducted on a database obtained by c...

Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book advances in biometric person authentication international workshop on biometric recognition systems iwbrs 2005 beijing china october 22 23 2005...

The purpose of this study is to evaluate the performance analysis of multilayer feed forward neural networks trained with back propagation algorithm & descent gradient Radial basis function network for the pattern classification of hand written curve script. This analysis has been done for handwritten text of three letters and for the individual English vowels. This analysis in the performance ...